PCI Registered Reports

Announcements

Please note that we will be CLOSED to ALL SUBMISSIONS from 1 December 2024 through 12 January 2025 to give our recommenders and reviewers a holiday break.

We are recruiting recommenders (editors) from all research fields!

Your feedback matters! If you have authored or reviewed a Registered Report at Peer Community in Registered Reports, then please take 5 minutes to leave anonymous feedback about your experience, and view community ratings.

Back

666

Title *

Unveiling the Positivity Bias on Social Media: A Registered Experimental Study On Facebook, Instagram, And Xuse asterix (*) to get italics

Authors *

A. Masciantonio, N. Heiser, A. CherbonnierPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"

Year *

2024

Picture

Abstract *

<p>Social media has transformed how people engage with the world around them. The positivity bias on social media, in particular, warrants in-depth investigation. This is particularly true as previous research has concentrated on one specific platform, Facebook. Based on a pilot study of 279 university students, this pre-registered experimental research will use a mixed design to examine the positivity bias on various social media platforms. After recalling a personal event, participants will randomly imagine telling this event to a group of friends and sharing it on social media (Facebook vs. Instagram vs. Twitter/X). Several characteristics will be examined through repeated measures ANCOVAs including the texts’ valence and the usage of emoji. Data collection will take place via the Prolific platform, adhering to our required sample size of 350 participants. By focusing explicitly on Facebook, Instagram and Twitter/X, this research aims to enrich the current understanding of the positivity bias on social media through an experimental and pre-registered approach.</p>

Indicate the full web address (DOI or URL) giving public access to these data (if you have any problems with the deposit of your data, please contact contact@rr.peercommunityin.org). *

You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://

Indicate the full web address (DOI or URL) giving public access to these scripts (if you have any problems with the deposit of your scripts, please contact contact@rr.peercommunityin.org). *

You should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://

Indicate the full web address (DOI, SWHID or URL) giving public access to these codes (if you have any problems with the deposit of your codes, please contact contact@rr.peercommunityin.org). *

You should fill this box only if you chose 'Codes have been used in this study'. URL must start with http:// or https://

Keywords (optional)

social media; cross-platform; valence; positivity bias; self-presentation; emoji

Methods that require specific expertise (optional)

NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).

Thematic fields *

Social sciences

Suggested reviewers - Suggest up to 10 reviewers (provide names and Email addresses). (Optional)

Adrian Meier [adrian.meier@fau.de] suggested: Julius Klingelhoefer (Julius.klingelhoefer@fau.de)

e.g. John Doe john@doe.com

No need for them to be recommenders of PCI Registered Reports. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct

Opposed reviewers - Suggest up to 5 people not to invite as reviewers. (Optional)

e.g. John Doe john@doe.com

Submission date

2024-01-15 10:33:52

Recommender

Veli-Matti Karhulahti

Reviewers

or Register
Submit a report

Announcements

MANAGING BOARD

MEMBER OF

INDEXED BY